Population PK modelling and simulation based on fluoxetine and norfluoxetine concentrations in milk: a milk concentration-based prediction model

Authors

Reo Tanoshima, Hospital for Sick Children University of Toronto
Facundo G.arcia Bournissen, Hospital for Sick Children University of Toronto
Yusuke Tanigawara, Hospital for Sick Children University of Toronto
Judith H. Kristensen, Hospital for Sick Children University of Toronto
Anna Taddio, Hospital for Sick Children University of Toronto
Kenneth F. Ilett, Hospital for Sick Children University of Toronto
Evan J. Begg, Hospital for Sick Children University of Toronto
Izhar Wallach, Hospital for Sick Children University of Toronto
Shinya Ito, Hospital for Sick Children University of Toronto

Document Type

Article

Publication Date

10-1-2014

Journal

British journal of clinical pharmacology

Volume

78

Issue

4

First Page

918

Last Page

928

URL with Digital Object Identifier

10.1111/bcp.12409

Abstract

AIMS: Population pharmacokinetic (pop PK) modelling can be used for PK assessment of drugs in breast milk. However, complex mechanistic modelling of a parent and an active metabolite using both blood and milk samples is challenging. We aimed to develop a simple predictive pop PK model for milk concentration-time profiles of a parent and a metabolite, using data on fluoxetine (FX) and its active metabolite, norfluoxetine (NFX), in milk.